Associate Professor, Xiamen University
2 papers at NeurIPS 2025
This work is the first to address the challenge of large-scale (over 100km^2) urban cross-view LiDAR-based place recognition with high-resolution remote sensing imagery.
We propose PlanU, a method that enhances LLM-based decision-making under uncertainty by modeling value distributions via quantile regression and guiding MCTS exploration using a novel Upper Confidence Bounds with Curiosity (UCC) score.
